LLM Agentic Workflow for Automated Vulnerability Detection and Remediation in Infrastructure-as-Code
Abstract: This paper presents a multi-agent, AI-driven strategy employing Large Language Models (LLMs), retrieval-augmented generation, and a continuously updated knowledge base for the detection and ...
1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
Liquibase 5.0+ Community Edition Changes: Starting with Liquibase 5.0, the Community edition (formerly known as OSS) no longer includes database drivers and ...
A workflow to run the quality checks for EPS repositories. The main element of this lives in the quality-checks.yml configuration file. The steps executed by this workflow are as follows: The secret ...
Every patient image tells a story, and radiologists play a critical role in unlocking insights from the pixels to inform downstream care. By delivering timely, accurate, and complete reports, ...
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